Researchers including two of Indian origin at Massachusetts Institute of Technology (MIT) have developed a computer interface that can transcribe words that the user verbalises internally but does not actually speak aloud.Electrodes in the device pick up neuromuscular signals in the jaw and face that are triggered by internal verbalisations\u2014saying words \u2018in your head\u2019\u2014but are undetectable to the human eye.<\/p>\n
The system consists of a wearable device and an associated computing system.<\/p>\n
The signals are fed to a Machine Learning (ML) system that has been trained to correlate particular signals with particular words.<\/p>\n
\u201cThe motivation for this was to build an IA device\u2014an intelligence-augmentation device,\u201d said Arnav Kapur, graduate student at the MIT Media Lab who led the development of the new system.<\/p>\n
\u201cOur idea was: Could we have a computing platform that\u2019s more internal, that melds human and machine in some ways and that feels like an internal extension of our own cognition?\u201d he added.<\/p>\n
Kapur is first author on the paper. Pattie Maes, Professor of Media Arts and Sciences is the senior author and he is joined by Shreyas Kapur, an undergraduate major in electrical engineering and computer science.<\/p>\n
The device is part of a complete silent-computing system that lets the user undetectably pose and receive answers to difficult computational problems.<\/p>\n
The idea that internal verbalisations have physical correlates has been around since the 19th<\/sup> century, and it was seriously investigated in the 1950s.<\/p>\n One of the goals of the speed-reading movement of the 1960s was to eliminate internal verbalisation, or subvocalisation, as it\u2019s known.<\/p>\n According to Kapur, the system\u2019s performance should improve with more training data, which could be collected during its ordinary use.<\/p>\n \u201cWe\u2019re in the middle of collecting data, and the results look nice,\u201d Kapur said. \u201cI think we\u2019ll achieve full conversation someday.\u201d<\/p>\n The researchers have described their device in a paper presented at the Association for Computing Machinery\u2019s \u201cACM Intelligent User Interface\u201d conference.<\/p>\n IANS<\/strong><\/p>\n Picture source: Alamy<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":" Researchers including two of Indian origin at Massachusetts Institute of Technology (MIT) have developed a computer interface that can transcribe words that the user verbalises internally but does not actually speak aloud.<\/p>\n","protected":false},"author":7,"featured_media":5429,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[31,49],"tags":[],"_links":{"self":[{"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/posts\/5428"}],"collection":[{"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/comments?post=5428"}],"version-history":[{"count":1,"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/posts\/5428\/revisions"}],"predecessor-version":[{"id":5430,"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/posts\/5428\/revisions\/5430"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/media\/5429"}],"wp:attachment":[{"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/media?parent=5428"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/categories?post=5428"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kt10.khaleejtimes.ae\/index.php\/wp-json\/wp\/v2\/tags?post=5428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}